Text Classification
Transformers
PyTorch
English
roberta
motivational-interviewing
text-embeddings-inference
Instructions to use clulab/roberta-base-motivational-interviewing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clulab/roberta-base-motivational-interviewing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clulab/roberta-base-motivational-interviewing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clulab/roberta-base-motivational-interviewing") model = AutoModelForSequenceClassification.from_pretrained("clulab/roberta-base-motivational-interviewing") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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